Data Scientist, Transparency & Observability - Trust and Safety

Written by the T&S Network from TikTok's posting.

Data science work on Trust & Safety measurement for a large short-video platform, building metrics and monitoring that show how enforcement systems perform across products and content types. The Transparency & Observability team supports internal decisions, external transparency reporting, and the quality and reliability of T&S data.

What you'd do

• Design metrics that measure T&S enforcement across different products and content types.
• Build dashboards and monitoring solutions that surface actionable insights into platform safety.
• Set up automated anomaly detection and alerts so data or operational problems surface early.
• Investigate data issues, find root causes, and improve data quality processes.
• Partner with engineering to strengthen T&S data reliability and governance.
• Explore AI-powered approaches to monitoring model performance and their effect on platform safety.

What it asks for

• Five or more years in data science, analytics, data engineering, or an adjacent quantitative field.
• Strong SQL and experience with large-scale data platforms such as Hive or Spark.
• Proficiency in Python or R.
• Experience designing metrics and building dashboards or reporting tools.
• Bachelor's degree or higher in a quantitative field such as statistics, computer science, math, engineering, or economics.

Terms in this role

Transparency report.

A published account of how a service enforced its rules over a period: removals, appeals, government requests. The DSA requires them in the EU.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on TikToknorth_east before you apply. If we got something wrong, report this listing.